8 citations · 14 across the 4 of their papers we have counts for
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cs.CV2021★ 8 cited
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers
Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria +2
Deep learning (DL) has been the primary approach used in various computer vision tasks due to its relevant results achieved on many tasks. However, on real-world scenarios with par…
cs.NI2021★ 4 cited
Deep Learning in Beyond 5G Networks with Image-based Time-Series Representation
Lucas Fernando Alvarenga e Silva, Bruno Yuji Lino Kimura, Jurandy Almeida
Towards the network innovation, the Beyond Five-Generation (B5G) networks envision the use of machine learning (ML) methods to predict the network conditions and performance indica…